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  • This article focuses on the detection of a brain tumor location in magnetic resonance images. The aim of this work is not the precise segmentation of the tumor and its parts but only the detection of its approximate location. It will be used in future work for more accurate segmentation. For this reason, it also does not deal with detecting of the images containing the tumor. The algorithm expects a 2D T2-weighted magnetic resonance image of brain containing a tumor. The detection is based on locating the area that breaks the left-right symmetry of the brain. The created algorithm was tested on 73 images containing tumor, tumor with edema or only edema. These pathological structures had various sizes and shapes and were located in various parts of the brain.
  • This article focuses on the detection of a brain tumor location in magnetic resonance images. The aim of this work is not the precise segmentation of the tumor and its parts but only the detection of its approximate location. It will be used in future work for more accurate segmentation. For this reason, it also does not deal with detecting of the images containing the tumor. The algorithm expects a 2D T2-weighted magnetic resonance image of brain containing a tumor. The detection is based on locating the area that breaks the left-right symmetry of the brain. The created algorithm was tested on 73 images containing tumor, tumor with edema or only edema. These pathological structures had various sizes and shapes and were located in various parts of the brain. (en)
Title
  • Detection of Brain Tumors Based on Automatic Symmetry Analysis
  • Detection of Brain Tumors Based on Automatic Symmetry Analysis (en)
skos:prefLabel
  • Detection of Brain Tumors Based on Automatic Symmetry Analysis
  • Detection of Brain Tumors Based on Automatic Symmetry Analysis (en)
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  • RIV/00216305:26220/13:PU102460!RIV14-MSM-26220___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
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  • S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 68724
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/13:PU102460
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Brain tumor, brain tumor detection, brain symmetry analysis (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [BE09A53F03FE]
http://linked.open...v/mistoKonaniAkce
  • Hernstein
http://linked.open...i/riv/mistoVydani
  • Hernstein, Rakousko
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 18th Computer Vision Winter Workshop Hernstein, Austria, February 4-6, 2013
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Dvořák, Pavel
  • Kropatsch, Walter G.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Neuveden
https://schema.org/isbn
  • 978-3-200-02943-9
http://localhost/t...ganizacniJednotka
  • 26220
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